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Solution-Processed Ultralow Voltage Organic Transistors With Sharp Switching for Adaptive Visual Perception.

Shuming DuanXianghong ZhangYue XiDi LiuXiaotao ZhangChunlei LiLang JiangLiqiang LiHuipeng ChenXiaochen RenWenping Hu
Published in: Advanced materials (Deerfield Beach, Fla.) (2024)
Neuromorphic visual systems can emulate biological retinal systems to perceive visual information under different levels of illumination, making them have considerable potential for future intelligent vehicles and vision automation. However, the complex circuits and high operating voltages of conventional artificial vision systems present great challenges for device integration and power consumption. Here, bioinspired synaptic transistors based on organic single crystal phototransistors are reported, which exhibit excitation and inhibition synaptic plasticity with time-varying. By manipulating the charge dynamics of the trapping centers of organic crystal-electret vertical stacks, organic transistors can operate below 1 V with record high on/off ratios close to 10 8 and sharp switching with a subthreshold swing of 59.8 mV dec -1 . Moreover, the approach offers visual adaptation with highly localized modulation and over 98.2% recognition accuracy under different illumination levels. These bioinspired visual adaptation transistors offer great potential for simplifying the circuitry of artificial vision systems and will contribute to the development of machine vision applications.
Keyphrases
  • optical coherence tomography
  • diabetic retinopathy
  • risk assessment
  • human health
  • machine learning
  • social media
  • energy transfer
  • prefrontal cortex